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LiveChat (Text) MCP Server and API by Cotlet

Archive chat in LiveChat (Text)

livechat_archive_chat
Read-onlyIdempotent

Archive chat in the user's own LiveChat (Text) account from ChatGPT, Claude or any AI agent. Returns how to do it in LiveChat (Text) step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's LiveChat (Text) Cloud Browser. LiveChat (Text)'s official API: LiveChat (Text) has a full REST API, the Agent Chat API and the Configuration API, but only a narrow official MCP server (checked 17 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "livechat_archive_chat"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and idempotentHint=true; the description goes further by disclosing that the tool performs no action itself and only returns instructions, which is the single most important behavioral fact an agent needs. The remaining API/MCP-symmetry sentence adds little beyond that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The behavioral disclosure is front-loaded and useful, but the text repeats 'LiveChat (Text)' six times and appends boilerplate about REST/Agent Chat/Configuration APIs and a 'checked 17 Oct 2026' note that does not help the agent decide or call. Trimming the API aside would strengthen it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema and rich annotations, the definition covers what an agent needs: what it returns (step-by-step guidance), what it does not do, and which tools finish the job. Only the return payload format (plain text vs. structured steps) is left implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline of 4 applies; the description does not need to explain argument meaning for an empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Archive chat in the user's own LiveChat (Text) account') and then immediately clarifies the real behavior: it returns step-by-step instructions and 'opens nothing by itself'. The follow-up routing to cotlet_browser_* tools makes the intended workflow unambiguous, though it does not distinguish itself from the generic cotlet_app_guide sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit two-step workflow: call this to get the LiveChat screens/buttons/fields, then execute with the cotlet_browser_* tools in the Cloud Browser. That is clear when-to-use and how-it-relates-to-alternatives guidance, but it states no conditions under which this tool should be skipped in favor of another approach.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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